Optimal Search in Ex situ Collections of Wheat Genetic Resources
AbstractThis paper develops a theoretical model for analyzing gene bank management decisions regarding the search for traits of economic value in ex situ collections of wheat. The model is applied to data on the probability of finding useful sources of resistance to Russian wheat aphid (Diuraphis noxia) and septoria tritici leaf blotch, using Monte Carlo simulations for sampling distributions, simulations of varietal diffusion paths, and actual cost data from searches. Three specific questions are posed and answered: (1) what is the optimal size of search among genetic resources of a given type for a trait of economic value? (2) what is the value of specialized knowledge about which genetic resources are most likely to display resistance? and (3) how should search resources be allocated across types of genetic resources? Results demonstrate the sensitivity of the optimal size of search to the economic importance of the problem, the probability distributions of the trait in different types of genetic resources, and the costs and time lags associated with transferring the trait into usable breeding material. The costs and time lags involved with conventional pre-breeding techniques imply that in some searches, certain categories of genetic resources (such as landraces) will be systematically ignored. The fact that they may be rarely utilized does not imply that collections of landraces have no value, however, as shown in the case of Russian wheat aphid. Though applied here to data on insect and disease resistance, the model can be adapted to search decisions for other types of traits.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CIMMYT: International Maize and Wheat Improvement Center in its series Economics Working Papers with number 7695.
Date of creation: 1998
Date of revision:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Smale, Melinda, 1997. "The Green Revolution and wheat genetic diversity: Some unfounded assumptions," World Development, Elsevier, vol. 25(8), pages 1257-1269, August.
- repec:cdl:agrebk:1143229 is not listed on IDEAS
- Rausser, Gordon C. & Small, Arthur A., 1999. "Bioprospecting with prior ecological information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6xf5z188, Department of Agricultural & Resource Economics, UC Berkeley.
- Simpson, R David & Sedjo, Roger A & Reid, John W, 1996. "Valuing Biodiversity for Use in Pharmaceutical Research," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 163-85, February.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.